Mathematics, B.A.

I. Intellectual Inquiry in Arts and Creativity

• Choose one course from approved list
    Credit(s): 3

II. Intellectual Inquiry in the Humanities

• Choose one course from approved list
    Credit(s): 3

III. Intellectual Inquiry in the Social Sciences

• Choose one course from approved list
    Credit(s): 3

IV. Intellectual Inquiry in the Natural, Physical, and Mathematical Sciences

• Choose one course from approved list
    Credit(s): 3

V. Composition and Communication I

• CIS 110 - COMPOSITION AND COMMUNICATION I Credit(s): 3

• OR

• WRD 110 - COMPOSITION AND COMMUNICATION I Credit(s): 3

VI. Composition and Communication II

• CIS 111 - COMPOSITION & COMMUNICATION II Credit(s): 3

• OR

• WRD 111 - COMPOSITION AND COMMUNICATION II Credit(s): 3

VII. Quantitative Foundations

• MA 113 - CALCULUS I Credit(s): 4

• OR

• MA 137 - CALCULUS I WITH LIFE SCIENCE APPLICATION Credit(s): 4

VIII. Statistical Inferential Reasoning

• Choose one course from approved list
    Credit(s): 3

IX. Community, Culture and Citizenship in the USA

• Choose one course from approved list
    Credit(s): 3

X. Global Dynamics

• Choose one course from approved list
    Credit(s): 3

UK Core hours: 31

Subtotal: Graduation Composition and Communication Requirement hours (GCCR): 3

I. Foreign Language: 0-14

(placement exam recommended)

II. Disciplinary Requirements

III. Laboratory or Field Work: 1

IV. Race and Ethnicity Requirement: 0-3

V. Electives: 6

College Requirement hours: 25-42

Premajor hours: 10-11

Subtotal: Major hours: 7

Foundations of Mathematics Track

The Foundations of Mathematics track trains students in the practice of modern mathematics. Students in this track learn the core topics of analysis, algebra, and topology, and take elective mathematics courses according to their interests and career goals. Through their coursework, students will gain valuable experience in problem solving as well as the construction and communication of logical arguments - skills valued by industry, government, and academia. The goal of the Foundations of Mathematics track is to prepare students to be competitive for both careers in industries that prize creativity and for graduate programs in mathematics or related fields such as data science, statistics, or applied mathematics.

• MA 261 - INTRODUCTION TO NUMBER THEORY Credit(s): 3

•  

• Select four of the following courses:

• MA 351 - ELEMENTARY TOPOLOGY I Credit(s): 3
• MA 352 - ELEMENTARY TOPOLOGY II Credit(s): 3
• MA 361 - ELEMENTARY MODERN ALGEBRA I Credit(s): 3
• MA 362 - ELEMENTARY MODERN ALGEBRA II Credit(s): 3
• MA 433G - INTRODUCTION TO COMPLEX VARIABLES Credit(s): 3
• MA 471G - ADVANCED CALCULUS I Credit(s): 3
• MA 472G - ADVANCED CALCULUS II Credit(s): 3

•  

• Complete 6 additional credit hours of MA courses above MA 213  , with the exclusion of MA 241 , MA 308 , MA 322 , and MA 391 . Of these 6 credit hours, a maximum of 3 hours can be independent
  work in mathematics (MA 395 ).

   

Applied Mathematics, Modeling, and Optimization Track

The Applied Mathematics, Modeling, and Optimization track provides a broad background in mathematics and its applications, with a focus on mathematical modeling and algorithms used in interdisciplinary settings such as in scheduling and routing problems, network analysis, secure communications, resource allocation, economics, biology, and biomedicine. Students will learn about fundamental results in probability, game theory, graph theory, mathematical modeling, linear programming, stability analysis, and uncertainty quantification, along with topics in elective mathematics courses that align with students’ personal interests and career goals. Students will understand both how mathematical approaches are applied to solve problems and why the underlying mathematical theory is correct. The goal of the Applied Mathematics, Modeling, and Optimization track is to prepare students for a career in pharmaceutical companies or financial institutions, industrial or government research, public policy, security analysis, K-12 and higher education, technical or scientific writing, and more.

• MA 320 - INTRODUCTORY PROBABILITY Credit(s): 3

• OR

• STA 320 - INTRODUCTORY PROBABILITY Credit(s): 3

•  

• Select four of the following courses:

• MA 327 - STRATEGIC DECISION MAKING: AN INTRODUCTION TO GAME THEORY Credit(s): 3

• OR

• ECO 327 - STRATEGIC DECISION MAKING: AN INTRODUCTION TO GAME THEORY Credit(s): 3

•  

• MA 337 - MATHEMATICAL MODELING IN THE LIFE SCIENCES Credit(s): 3

• OR

• BIO 337 - MATHEMATICAL MODELING IN THE LIFE SCIENCES Credit(s): 3

•  

• MA 340 - APPLICABLE ALGEBRA Credit(s): 3

• OR

• CS 340 - APPLICABLE ALGEBRA Credit(s): 3

•  

• MA 415G - COMBINATORICS AND GRAPH THEORY Credit(s): 3

• OR

• CS 415G - COMBINATORICS AND GRAPH THEORY Credit(s): 3

•  

• MA 416G - INTRODUCTION TO OPTIMIZATION Credit(s): 3

• OR

• CS 416G - INTRODUCTION TO OPTIMIZATION Credit(s): 3

•  

• MA 432G - METHODS OF APPLIED MATHEMATICS I Credit(s): 3

•  

• Complete 6 additional credit hours of MA courses above MA 213  , with the exclusion of MA 241 , MA 308 , MA 322 , and MA 391 . Of these 6 credit hours, a maximum of 3 hours can be independent
  work in mathematics (MA 395 ).

   

Mathematics of Data, Computation, and Finance Track

The Mathematics of Data, Computation, and Finance track provides a broad background in computational mathematics, with a focus on developing both mathematical concepts and algorithms that arise in data science and machine learning as well as tools needed to model and analyze a wide range of phenomena in fields where uncertainty plays a role such as finance, physics, engineering, and biology. Students will learn about fundamental results in computational mathematics, probability, statistics, financial mathematics, and machine learning algorithms along with topics in elective mathematics courses that align with students’ personal interests and career goals. Students will understand both how mathematical approaches are applied to solve problems and why the underlying mathematical theory is correct. The goal of the Mathematics of Data, Computation, and Finance track is to prepare students for career that focus on data science, computational science, engineering, and finance, whether they are interested in applying mathematics to solve real-world problems or building a mathematical foundation for advanced studies in a related discipline.

• MA 320 - INTRODUCTORY PROBABILITY Credit(s): 3

• OR

• STA 320 - INTRODUCTORY PROBABILITY Credit(s): 3

•  

• Select four of the following courses:

• MA 321 - INTRODUCTION TO NUMERICAL METHODS Credit(s): 3

• OR

• CS 321 - INTRODUCTION TO NUMERICAL METHODS Credit(s): 3

•  

• MA 323 - MATHEMATICAL INTRODUCTION TO DATA SCIENCE Credit(s): 3

•  

• MA 417G - DECISION MAKING UNDER UNCERTAINTY Credit(s): 3

• OR

• STA 417G - DECISION MAKING UNDER UNCERTAINTY Credit(s): 3

•  

• MA 420G - INTRODUCTION TO STOCHASTIC PROCESSES Credit(s): 3
• MA 421G - MATHEMATICAL INTRODUCTION TO DEEP LEARNING Credit(s): 3
• MA 427G - FINANCIAL MATHEMATICS Credit(s): 3

•  

• Complete 6 additional credit hours of MA courses above MA 213 , with the exclusion of MA 241 , MA 308 , MA 322 , and MA 322 . Of these 6 credit hours, a maximum of 3 hours can be independent work in mathematics (MA 395 ).

General Mathematics Track

This is the default track for students who do not declare another track.

Complete 21 credit hours of additional MA courses above MA 213 , with the exclusion of MA 241 , MA 308 , MA 322 , and MA 391 . Of these 21 credit hours, a maximum of 3 hours can be independent work in mathematics (MA 395 ). Students pursuing this track must plan their coursework in such a way to be compliant with the prerequisites of the GCCR course, MA 391 .

Total Track Hours: 21